{"id":"W3213061076","doi":"10.1016/j.mran.2021.100186","title":"Microbial risk assessment and mitigation options for wastewater treatment in Arctic Canada","year":2021,"lang":"en","type":"article","venue":"Microbial Risk Analysis","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; Dalhousie University","funders":"Nasivvik Centre for Inuit Health and Changing Environments; Government of Nunavut","keywords":"Environmental science; Wastewater; Effluent; Sewage treatment; Arctic; Risk assessment; Recreation; Environmental protection; Risk analysis (engineering); Environmental engineering; Ecology; Business; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001668271,0.0004515305,0.0002657913,0.001616248,0.003660737,0.003077111,0.0007270513,0.0006077034,0.001293167],"category_scores_gemma":[0.002964318,0.0001308982,0.0005265932,0.001827779,0.0008559096,0.0005238436,0.001686072,0.0005750431,0.00009575846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03248093,"about_ca_system_score_gemma":0.05415158,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9554719,"about_ca_topic_score_gemma":0.9787594,"domain_scores_codex":[0.9983137,0.0003585402,0.00004612412,0.0000796875,0.0007172169,0.0004847267],"domain_scores_gemma":[0.998487,0.0002351109,0.0001957565,0.00002611728,0.0008697577,0.0001862356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0010391,0.0004410518,0.7218975,0.0007973955,0.0003237912,0.001045521,0.01577283,0.02899121,0.00820444,0.01057684,0.00465481,0.2062555],"study_design_scores_gemma":[0.00004003393,0.0008728904,0.7569928,0.00120683,0.0004999643,0.000583619,0.1318125,0.03984618,0.01345163,0.008476121,0.04605649,0.0001609516],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779443,0.002549967,0.002247684,0.002902431,0.00002605431,0.00006183417,0.000414104,0.00002152515,0.01383209],"genre_scores_gemma":[0.9934433,0.001915647,0.001640434,0.0001449924,0.000008017661,0.000009692318,0.0001017248,0.000004972097,0.002731188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04452807,"threshold_uncertainty_score":0.2356667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01527638729345003,"score_gpt":0.3328232756970806,"score_spread":0.3175468884036305,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}